Update README.md

README.md

@@ -9,63 +9,7 @@ tags:
 - retrieval
 - colbert
 - late-interaction
-pipeline_tag: image-text-to-text
+pipeline_tag: visual-document-retrieval
 ---
 
-# Merged ColGemma3 Model
-
-This model is a merged version of multiple ColGemma3 models using the **linear** merging technique.
-
-## Source Models
-
-1. [Nayana-cognitivelab/NayanaEmbed-ColGemma3-Modal-1848-colbert](https://huggingface.co/Nayana-cognitivelab/NayanaEmbed-ColGemma3-Modal-1848-colbert)
-2. [Nayana-cognitivelab/NayanaEmbed-ColGemma3-MultiGPU-merged-1610-22-colbert](https://huggingface.co/Nayana-cognitivelab/NayanaEmbed-ColGemma3-MultiGPU-merged-1610-22-colbert)
-
-
-## Merge Method: LINEAR
-
-Linear interpolation: Weighted average of model parameters.
-
-## Model Architecture
-
-ColGemma3 is a vision-language model for late interaction retrieval:
-- **Base**: Gemma3 vision-language model
-- **Vision Encoder**: Processes images into patch embeddings
-- **Custom Projection**: Projects embeddings to 128 dimensions
-- **Retrieval**: Uses MaxSim scoring for multi-vector retrieval
-
-## Usage
-
-```python
-from colpali_engine.models.gemma3.colgemma3 import ColGemma3, ColGemmaProcessor3
-from PIL import Image
-import torch
-
-# Load model and processor
-model = ColGemma3.from_pretrained("Nayana-cognitivelab/NayanaEmbed-ColGemma3-Merge-Colbert-base-nayana-linear-v1", torch_dtype=torch.bfloat16, device_map="auto")
-processor = ColGemmaProcessor3.from_pretrained("Nayana-cognitivelab/NayanaEmbed-ColGemma3-Merge-Colbert-base-nayana-linear-v1")
-
-# Process images
-images = [Image.open("document.png")]
-batch_images = processor.process_images(images).to(model.device)
-
-# Process queries
-queries = ["What is this document about?"]
-batch_queries = processor.process_queries(queries).to(model.device)
-
-# Generate embeddings
-with torch.no_grad():
-    img_embeddings = model(**batch_images)
-    query_embeddings = model(**batch_queries)
-
-# Compute similarity scores
-scores = processor.score([query_embeddings[0]], [img_embeddings[0]])
-```
-
-## Citation
-
-If you use this model, please cite the original ColGemma3 work and the source models.
-
----
-
-*This model was automatically merged using [Modal](https://modal.com) infrastructure.*
+# ColNetraEmbed